Predicting serious injuries due to road traffic accidents in Malaysia by means of artificial neural network

• Main Authors: Nurul Qastalani, Radzuan, Mohd Hasnun Ariff, Hassan, Anwar, P. P. Abdul Majeed, Rabiu Muazu, Musa, Mohd Azraai, M. Razman, Khairil Anwar, Abu Kassim
• Format: Conference or Workshop Item
• Language: English
• Published: Springer Singapore 2020
• Subjects: TA Engineering (General). Civil engineering (General); TE Highway engineering. Roads and pavements
• Online Access: http://umpir.ump.edu.my/id/eprint/27593/1/Predicting%20Serious%20Injuries%20due%20to%20Road%20Traffic1.pdf; http://umpir.ump.edu.my/id/eprint/27593/; https://doi.org/10.1007/978-981-13-9539-0; http://DOI 10.1007/978-981-15-2317-5
• Institution: Universiti Malaysia Pahang

Malaysia has recorded a steady increase in the number of road traffic accidents from year to year at an alarming rate of 5%. Serious injuries due to the accidents, which could lead to permanent disability, might cause a long-term problem to the nation economy-wise. Predicting the number of serious i...